Reduced-rank STAP for high PRF radar

Due to the range ambiguity of high pulse-repetition frequency (HPRF) radars, echoes from far-range fold over near-range returns. This effect may cause low Doppler targets to compete with near-range strong clutter. Another consequence of the range ambiguity is that the sample support for estimating the array covariance matrix is reduced, leading to degraded performance. It is shown that space-time adaptive processing (STAP) techniques are required to reject the clutter in HPRF radar. Four STAP methods are studied in the context of the HPRF radar problem: low rank approximation sample matrix inversion (SMI), diagonally loaded SMI, eigencanceler, and element-space post-Doppler. These three methods are evaluated in typical HPRF radar scenarios and for various training conditions, including when the target is present in the training data.

[1]  A.M. Haimovich,et al.  Eigenanalysis-based space-time adaptive radar: performance analysis , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[2]  A. Haimovich,et al.  The eigencanceler: adaptive radar by eigenanalysis methods , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[3]  B. Carlson Covariance matrix estimation errors and diagonal loading in adaptive arrays , 1988 .

[4]  James Ward,et al.  Space-time adaptive processing for airborne radar , 1998 .

[5]  Simon Haykin,et al.  Adaptive filter theory (2nd ed.) , 1991 .

[6]  LiWu Chang,et al.  Performance of DMI and eigenspace-based beamformers , 1992 .

[7]  D. Tufts,et al.  Adaptive detection using low rank approximation to a data matrix , 1994 .

[8]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[9]  Randolph L. Moses,et al.  Analysis of modified SMI method for adaptive array weight control , 1989, IEEE Trans. Signal Process..

[10]  Hong Wang,et al.  On adaptive spatial-temporal processing for airborne surveillance radar systems , 1994 .

[11]  Y. Abramovich,et al.  Controlled Method for Adaptive Optimization of Filters Using the Criterion of Maximum Signal-to-Noise Ratio , 1982 .

[12]  I. Reed,et al.  Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[13]  L.E. Brennan,et al.  Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[14]  L. E. Brennan,et al.  Comparison of space-time processing approaches using experimental airborne radar data , 1993, The Record of the 1993 IEEE National Radar Conference.

[15]  E. C. Barile,et al.  Some limitations on the effectiveness of airborne adaptive radar , 1992 .

[16]  H. Pollak,et al.  Prolate spheroidal wave functions, fourier analysis and uncertainty — III: The dimension of the space of essentially time- and band-limited signals , 1962 .

[17]  A. M. Haimovich,et al.  Asymptotic distribution of the conditional signal-to-noise ratio in an eigenanalysis-based adaptive array , 1997, IEEE Transactions on Aerospace and Electronic Systems.